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Plant Transposable Elements

Overview of attention for book
Cover of 'Plant Transposable Elements'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Historical Overview of Transposable Element Research
  3. Altmetric Badge
    Chapter 2 Distinguishing Variable Phenotypes from Variegation Caused by Transposon Activities
  4. Altmetric Badge
    Chapter 3 Using Transposons for Genetic Mosaic Analysis of Plant Development
  5. Altmetric Badge
    Chapter 4 Survey of Natural and Transgenic Gene Markers Used to Monitor Transposon Activity
  6. Altmetric Badge
    Chapter 5 Molecular Biology of Maize Ac / Ds Elements: An Overview
  7. Altmetric Badge
    Chapter 6 Gene Tagging with Engineered Ds Elements in Maize
  8. Altmetric Badge
    Chapter 7 Plant Regeneration Methods for Rapid Generation of a Large Scale Ds Transposant Population in Rice
  9. Altmetric Badge
    Chapter 8 Isolation of Sequences Flanking Ac Insertion Sites by Ac Casting
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    Chapter 9 Regulation of the Mutator System of Transposons in Maize
  11. Altmetric Badge
    Chapter 10 Using MuDR/Mu Transposons in Directed Tagging Strategies
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    Chapter 11 Genetic and Molecular Analyses of UniformMu Transposon Insertion Lines
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    Chapter 12 Digestion–Ligation–Amplification (DLA): A Simple Genome Walking Method to Amplify Unknown Sequences Flanking Mutator ( Mu ) Transposons and Thereby Facilitate Gene Cloning
  14. Altmetric Badge
    Chapter 13 Molecular Genetics and Epigenetics of CACTA Elements
  15. Altmetric Badge
    Chapter 14 Activation Tagging Using the Maize En-I Transposon System for the Identification of Abiotic Stress Resistance Genes in Arabidopsis
  16. Altmetric Badge
    Chapter 15 Reverse Genetics in Rice Using Tos17
  17. Altmetric Badge
    Chapter 16 Identification and Applications of the Petunia Class II Act1/dTph1 Transposable Element System
  18. Altmetric Badge
    Chapter 17 Transposon Display: A Versatile Method for Transposon Tagging
  19. Altmetric Badge
    Chapter 18 Massive Indexed Parallel Identification of Transposon Flanking Sequences
  20. Altmetric Badge
    Chapter 19 Use of Next Generation Sequencing (NGS) Technologies for the Genome-Wide Detection of Transposition
  21. Altmetric Badge
    Chapter 20 Overview of Repeat Annotation and De Novo Repeat Identification
  22. Altmetric Badge
    Chapter 21 Computational Methods for Identification of DNA Transposons
  23. Altmetric Badge
    Chapter 22 TEnest 2.0: Computational Annotation and Visualization of Nested Transposable Elements
Attention for Chapter 21: Computational Methods for Identification of DNA Transposons
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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Chapter title
Computational Methods for Identification of DNA Transposons
Chapter number 21
Book title
Plant Transposable Elements
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-568-2_21
Pubmed ID
Book ISBNs
978-1-62703-567-5, 978-1-62703-568-2
Authors

Ning Jiang, Jiang, Ning

Abstract

The initial identification of transposable elements (TEs) was attributed to the activity of DNA transposable elements, which are prevalent in plants. Unlike RNA elements, which accumulate in the gene-poor heterochromatic regions, most DNA elements are located in the gene rich regions and many of them carry genes or gene fragments. As such, DNA elements have a more intimate relationship with genes and may have an immediate impact on gene expression and gene function. DNA elements are structurally distinct from RNA elements and most of them have terminal inverted repeats (TIRs). Such structural features have been used to identify the relevant elements from genomic sequences. Among the DNA elements in plants, the most abundant type is the miniature inverted repeat transposable elements (MITEs). This chapter discusses the methods to identify MITEs, Helitrons, and other DNA transposable elements.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 43%
Professor 1 14%
Student > Bachelor 1 14%
Researcher 1 14%
Unknown 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Medicine and Dentistry 2 29%
Computer Science 1 14%
Unknown 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 November 2014.
All research outputs
#6,395,364
of 22,721,584 outputs
Outputs from Methods in molecular biology
#1,936
of 13,083 outputs
Outputs of similar age
#68,811
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#77
of 341 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 84% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.